Accession Number : ADA289472
Title : An Analysis of Spectral Envelope-Reduction via Quadratic Assignment Problems.
Descriptive Note : Contractor rept.,
Corporate Author : INSTITUTE FOR COMPUTER APPLICATIONS IN SCIENCE AND ENGINEERING HAMPTON VA
Personal Author(s) : George, Alan ; Pothen, Alex
PDF Url : ADA289472
Report Date : OCT 1994
Pagination or Media Count : 26
Abstract : A new spectral algorithm for reordering a sparse symmetric matrix to reduce its envelope size was described in 2. The ordering is computed by associating a Laplacian matrix with the given matrix and then sorting the components of a specified eigenvector of the Laplacian. In this paper we provide an analysis of the spectral envelope reduction algorithm. We describe related I- and 2-sum problems; the former is related to the envelope size, while the latter is related to an upper bound on the work involved in an envelope Cholesky factorization scheme. We formulate the latter two problems as quadratic assignment problems, and then study the 2-sum problem in more detail. We obtain lower bounds on the 2-sum by considering a projected quadratic assignment problem, and then show that finding a permutation matrix closest to an orthogonal matrix attaining one of the lower bounds justifies the spectral envelope reduction algorithm. The lower bound on the 2-sum is seen to be tight for reasonably 'uniform' finite element meshes. We also obtain asymptotically tight lower bounds for the envelope size for certain classes of meshes.
Descriptors : *ALGORITHMS, *MATRICES(MATHEMATICS), COMPUTATIONS, SIZES(DIMENSIONS), FINITE ELEMENT ANALYSIS, EIGENVECTORS, EIGENVALUES, PROBLEM SOLVING, MESH, REDUCTION, SPECTRA, SYMMETRY, QUADRATIC EQUATIONS, ALLOCATIONS, SPARSE MATRIX, PERMUTATIONS, ENVELOPE(SPACE).
Subject Categories : Numerical Mathematics
Distribution Statement : APPROVED FOR PUBLIC RELEASE